AI in radiology

 How healthcare AI can improve patient centeredness January 24, 2020 by Ory Six Patient centered care sounds like an obvious thing to aim for in healthcare, always, everywhere. However, its implementation is not always a ... Read Post
How to build a radiology AI algorithm: collecting the right data December 24, 2019 by Arna van Engelen As a radiologist, you might come across tasks that you would not mind handing over to artificial intelligence (AI), either because they are of a ... Read Post
4 benefits of an optimized radiology report October 15, 2019 by María García Sanz The healthcare system is evolving and personalized healthcare is becoming increasingly important. From this perspective, each patient is unique. ... Read Post
Understanding the role of AI bias in healthcare September 17, 2019 by Renske de Boer It is important to understand the role of AI bias in healthcare. As artificial intelligence (AI) applications gain traction in medicine, healthcare ... Read Post
Image augmentation: how to overcome small radiology datasets June 28, 2019 by Jim Tol The training of neural networks typically requires large amounts of data. The more examples your network sees during training, the better it can ... Read Post
How does deep learning in radiology work ? May 29, 2019 by Valerio Fortunati Lately many exciting results with deep learning in radiology have been reported. This is not that much of a surprise, as deep learning is eminently ... Read Post
RSNA Machine Learning Showcase 2019 [Top 5 Questions to Ask RSNA Exhibitors] November 06, 2018 by Ory Six The 2019 RSNA artificial intelligence showcase promises to be even busier than last year. The amount of RSNA exhibitors has grown to over 70 and the ... Read Post
Why adopt AI radiology today? | Blog September 06, 2018 by Ory Six Artificial intelligence is increasingly becoming a part of our lives. This is by helping us automatically tag all cat pictures on our phone, analyze ... Read Post
Deep learning radiology and challenges in medical image processing June 26, 2018 by Jorrit Glastra Until a few years ago, conventional image analysis was based on the careful handcrafting of features by humans that captured the relevant aspects of ... Read Post
How to help radiology AI cope with different scanners and settings? May 02, 2018 by Annegreet van Opbroek Segmentation of MRI and CT images into the available tissues and structures plays a crucial role in quantification, both in medical research and ... Read Post
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